Channel
@DOJFraudDiv
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
18subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003897892399 |
|---|---|
| Type | Channel |
| Username | @DOJFraudDiv |
| Description | Official account for the National Fraud Enforcement Division at @TheJusticeDept. Privacy Policy: justice.gov/doj/privacy-po... |
| Created | Between 1 February 2026 and 1 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/DOJFraudDiv |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 19:16 | 18 | no change |
| 7 Aug 2026, 18:03 | 18 | first reading |
20 posts held, back to 1 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 31 July 2026 |
|---|---|
| Posts held | 20 (1 June 2026 – 31 July 2026) |
| Views total | 45 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 19:16 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 🙏 | 1 | 50.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 2 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 June 2026 to 31 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
The announcement today is a series of significant fraud enforcement actions across the Southeastern U.S., the product of robust federal-state partnerships with Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, and South Carolina. “Defeating the fraud epidemic in our country requires all-hands-on-deck from our federal and state partners nationwide,” said Assistant Attorney General Colin McDonald. “Wh…
Expatriated Hedge Fund Manager Sentenced to Prison for Tax Evasion: Defendant CONCEALED MILLIONS in Foreign Bank Accounts Before Renouncing U.S. Citizenship “Today’s sentence makes clear that renouncing U.S. citizenship does not shield you from American justice,” said Assistant Attorney General Colin McDonald. “Mr. Schmidt deliberately hid millions in income and assets from the IRS, filed false statements, and cheat…
🚨Assistant Attorney General Colin McDonald announces the Justice Department's Trade Fraud Task Force SURPASSES $1 BILLION in recoveries and charged losses in less than one year alongside @DHSgov @CBP @NDILnews and other federal partners:
https://t.co/y5g4JajhQn HAPPENING NOW: Department of Justice to Hold Press Conference Announcing Historic Trade Fraud Enforcement Crackdown
🚨Illegal Alien Romanian Brothers Plead GUILTY to Multistate SNAP Benefit Fraud Scheme “The Fraud Division will not tolerate anyone who steals from public benefits programs designed to support Americans in need,” said Assistant Attorney General Colin M. McDonald. “If you attempt to defraud these programs, we will come after you with the full force of federal law. We are committed to safeguarding America’s tax dollars…
Follow :@AAGMcDonald Official Telegram Channel for more updates!!!
On April 7th the Department of Justice announced the creation of the National Fraud Enforcement Division. We are investigating and prosecuting those who commit fraud against the American people alongside our federal and state partners. This is just the beginning of our work.
Assistant Attorney General Colin McDonald on today's fraud crackdown announcement in Boston: "Illegal immigration carries real and substantial costs to American taxpayers and places enormous strain on our public benefits systems. And the further we look, the more fraud we find. Under the leadership of @POTUS, @VP, Acting Attorney General @DAGToddBlanche, and the @WHFraudTF, @TheJusticeDept and our fraud-fighting par…
🙏1
Assistant Attorney General Colin McDonald today in Ohio: "Federal and state partners have come together as one to battle the fraud crisis that has crippled our taxpayer funded programs and robbed the American purse for too long. Under @POTUS, @VP, and Acting Attorney General @DAGToddBlanche, the days of brazen thievery of taxpayer dollars, is over." There is nowhere we won't go to fight fraud. @ColinMcDonaldreal
Today we announced that our Health Care Fraud Unit, one of the most active white-collar litigating components across the Department, secured federal jury trial convictions involving over $1.1 BILLION in six trials in just under three weeks. “What sets the Fraud Division apart is not only our ability to proactively detect, investigate and dismantle fraud schemes before they cause further harm, but the depth and skill…
Another bad actor has been caught and sentenced to prison—this time for stealing a deceased relative’s identity to fraudulently collect approximately $450K in federal and state benefits.
The Hunts, of Texas, and Corey Burt, formerly of Mississippi, executed a scheme to file false claims for tax refunds in the names of trusts they controlled. In total, they sought more than $8.5 million in tax refunds that the trusts were not entitled to receive. As a result of the scheme, the co-conspirators received over $1.7 million in fraudulent proceeds from the IRS, which they shared and used to purchase luxury…
Showing the 12 most recent of 20 posts we hold for @DOJFraudDiv. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 425,235 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@DOJFraudDiv named 12 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 August 2026 — this entry's latest reading, not the date you are reading this.
“National Fraud Enforcement Division” (@DOJFraudDiv), 18 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/DOJFraudDiv.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.